This project implements a LSTM (Long Short-Term Memory) model to predict stock prices of AAPL (Apple Inc.) and AMD (Advanced Micro Devices) using historical data. The dataset includes stock prices with features like Open, High, Low, Close, Adjusted Close, and Volume. The model is trained using LSTM to learn the temporal dependencies in the data.
active 2025-02-16 → 2025-02-16 (UTC)
Activity over time
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Line chart, 1 days from 2025-02-16 to 2025-02-16. Pushes: 3 total, peak 3 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 0 total, peak 0 in a day. Comments: 0 total, peak 0 in a day. Stars: 0 total, peak 0 in a day.
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Top contributors
Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity
| Contributor | Contributions | Pushes | PRs | Comments |
|---|---|---|---|---|
| steveee27 | 3 | 3 | 0 | 0 |
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No issue or PR events — this repo's activity is pushes only.
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 0 stars here means stars gained during the window, not the repo's star count.